Challenges in the representation of digital applications in SGAM: Overview and solutions
Autor: | Jose Angel Leiva Vilaplana, Konrad Sundsgaard, Gabriel Miguel Gomes Guerreiro, Guangya Yang |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Leiva Vilaplana, J A, Sundsgaard, K, Gomes Guerreiro, G M & Yang, G 2022, Challenges in the representation of digital applications in SGAM: Overview and solutions . in Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies . IEEE, 2022 IEEE PES Innovative Smart Grid Technologies Europe, Novi Sad, Serbia, 10/10/2022 . https://doi.org/10.1109/ISGT-Europe54678.2022.9960549 |
ISSN: | 2013-1070 |
DOI: | 10.5281/zenodo.6992352 |
Popis: | Digital applications foster innovation and spur new business models emergence in the power and energy sector, enabling further development toward smart grids. The ongoing integration of disruptive digital tools and smart grid solutions brings new complexities to the design of new smart grid applications. To cope with standardisation and interoperability concerns, the smart grid architecture model (SGAM) is the state of the art framework to design new applications in the ecosystem of smart grids. However, conceptual challenges related to the actor's definition arise when mapping new digital applications to SGAM, among others such as artificial intelligence and digital twins. Thus, this paper explores the latter challenges and presents three potential solutions to facilitate the deployment of digital applications in SGAM. These solutions are: integration of a new interoperability layer to cover digital applications and humans in the current SGAM design, decoupling of the component layer in three layers regarding the typology of actors, and integration of a new interoperability layer to better represent the digital actors in cyber-physical applications. {"references":["X. Liang, \"Emerging power quality challenges due to integration of renewable energy sources,\" IEEE Transactions on Industry Applications, vol. 53, pp. 855–866, 3 2017.","M. L. Tuballa and M. L. Abundo, \"A review of the development of Smart Grid technologies,\" Renewable and Sustainable Energy Reviews, vol. 59, pp. 710–725, 2016. [Online]. Available: http: //dx.doi.org/10.1016/j.rser.2016.01.011","E. Hossain, I. Khan, F. Un-Noor, S. S. Sikander, and M. S. H. Sunny, \"Application of big data and machine learning in smart grid, and associated security concerns: A review,\" IEEE Access, vol. 7, pp. 13 960– 13 988, 2019.","X. Yu and Y. 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Databáze: | OpenAIRE |
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